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by Patrick Wheeler and Jason Gauci
Programming Throwdown educates Computer Scientists and Software Engineers on a cavalcade of programming and tech topics. Every show will cover a new programming language, so listeners will be able to speak intelligently about any programming language.
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Intro topic: RunningNews/Links:Flow matching versus diffusion modelshttps://youtu.be/firXjwZ_6KI?is=QMq8DcCsXTTktOuE OpenCV 5https://opencv.org/opencv-5/Claude fable beats pokemon with no harnesshttps://youtu.be/Ty_50J84fMY?si=EJ1KjZCZegipfCsV Can the stockmarket swallow Anthropic, SpaceX and OpenAI? https://archive.ph/nKEVwBook of the ShowPatrickStrength of the Few - James Islingtonhttps://amzn.to/4pmr10TJasonDescender - Jeff Lemirehttps://amzn.to/3QKhp3lPatreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrickNo Man’s SkyJasonPaperlib https://paperlib.app/en/ Topic: World ModelsMaking decisions with AIAction-Value (called a Q model): What is the long-term value of making a decision at a positionPolicy: What action should I take (must be a distribution)Value (called a V model): What is the value of a position (depends on policy)Advantage/Disadvantage: difference in value given two policiesWhen advantage is +, do that more.Model-FreeLook at the current situation and suggest an actionRun that action in the real world and measure the effectUse that measurement to suggest better actions next timeModel-BasedObserve rollouts (sequences of situations) and learn the dynamicsChoose an action, use your dynamics model to measure the consequencePotentially do MPC (try many actions and choose the best)World ModelsObserve many many rollouts and learn a full forward model (how to create the input in the future)Train a policy & value inside the world modelDeploy the policy and fine-tune based on the real world
In this episode, Patrick and Jason cover Agentic Coding!
Patrick and Jason discuss what it means to become a manager and how the role differs from individual engineering work. They cover hiring, coaching, performance management, team goals, and when moving into management is or is not the right choice.
Patrick and Jason break down workflow orchestrators and why they matter for batch jobs, long-running tasks, and resumable distributed systems. They compare tools such as Airflow, Dagster, Temporal, Ray, and Kubeflow while explaining the infrastructure patterns behind them.
Patrick and Jason explain asynchronous programming and how it differs from traditional multithreading and multiprocessing. They cover coroutines, blocking versus non-blocking operations, promises, callbacks, async/await, and the tradeoffs behind each approach.
Patrick and Jason are joined by Mark Cunningham to discuss how software engineers can find strong job opportunities and perform well throughout the interview process. They cover sourcing strategies, reverse interviews, negotiation, hiring-manager expectations, and common mistakes candidates should avoid.
Patrick and Jason discuss how AI-assisted coding tools can speed up development, answer questions about a codebase, and reduce boilerplate work. They compare common workflows and tools such as Copilot, Cursor, and command-line assistants while talking through where these systems help most.
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Programming Throwdown educates Computer Scientists and Software Engineers on a cavalcade of programming and tech topics. Every show will cover a new programming language, so listeners will be able to speak intelligently about any programming language.
AI-powered recaps with compact key takeaways, quotes, and insights.
Get key takeaways from Programming Throwdown in a 5-minute read.
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